The doctoral programme in Statistics is the smallest programme at JIBS but also one of the newest ones. It started in 2006 and the first doctor graduated from the programme in Spring 2011.

Postgraduate studies in Statistics comprise a total of 240 Swedish credits [120 Swedish credits for the licentiate degree, respectively], 120 [60] Swedish credits of course work and 120 [60] Swedish credits for the doctoral thesis [licentiate thesis], which normally requires four [two] years of full-time study.

The course work for postgraduate studies in Statistics includes compulsory courses comprising a total of 30 Swedish credits as well as broadening and/or deepening elective courses.

The compulsory courses for both the licentiate and doctoral degree are Statistical Inference Theory (15 credits) and Probability Theory (15 credits).

The elective courses, which aim at broad and in-depth knowledge, comprise a maximum of 60 [30] Swedish credits.  The elective courses offered are focusing on business statistics.Of the elective credits, a maximum of 15 [15] Swedish credits can be given for scientific project work.

Furthermore, doctoral candidates in Statistics have the possibility of taking courses within the Swedish Network Research for Graduate and Undergraduate Education in statistics (GRAPES). The network is a cooperation between the departments of Statistics at Linköping University, Lund University, Stockholm University, Stockholm Business School, Umeå University, Linné University and Örebro University and JIBS. For more information about these courses, please visit their home page:

Research and dissertation work within the Statistics programme at JIBS focus on various aspects of developing inference and decision making methods within, e.g., multivariate analysis, model based and model independent time series analysis, multi level analysis and micro econometrics.  For further information of the Statistics programme contact

For more information about the programme please see the curriculum in Statistics.

Content updated 2020-04-29

Content updated 2020-04-29